package com.atguigu.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.alibaba.nacos.client.utils.JSONUtils;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConStant;
import com.atguigu.gulimall.search.feign.ProductFeignService;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.BrandVo;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import com.sun.deploy.net.URLEncoder;
import org.apache.lucene.search.TotalHits;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilder;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import javax.annotation.Resource;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceimpl implements MallSearchService {
    @Resource
    private RestHighLevelClient client;
    @Resource
    private ProductFeignService productFeignService;



    //去es进行检索
    @Override
    public SearchResult search(SearchParam param) {
        //1.动态构建出查询需要的DSL语句
        SearchResult result = null;
        //1。准备检索请求
        SearchRequest searchRequest = buildSearchRequrest(param);
        try {
            //2.执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);

            //3.分析响应数据，封装成需要的格式
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 准备检索请求
     *
     * @return
     */
    private SearchRequest buildSearchRequrest(SearchParam param) {
        //构建dsl语句的SearchSourceBuilder
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();

        /**
         * 1.模糊匹配 过滤
         */
        //构建了bool - query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1 must条件 模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2 bool  filter 按照三级分类Id查询
        if (null != (param.getCatalog3Id())) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //1.2.0 bool  filter 按照品牌ID查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        //1.2.1 bool filter按照所有指定的属性进行查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            for (String attrString : param.getAttrs()) {
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                String[] s = attrString.split("_");
                String attrId = s[0]; //检索的Id
                String[] attrValues = s[1].split(":");//检索的属性值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个都得生成一个嵌入式查询的nested
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }

        }


        //1.2.2 bool filter按照所有库存是否有进行查询
        if (param.getHasStock()!=null){
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }

        //1.2.3 bool filter按照价格区间
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            //不是空
            /**
             * gte
             * lte
             */
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            //分割后，得到两个值，那就是区间
            if (s.length == 2) {
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                //一个值 前面有_则是小于  后面有_就是大于
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }

                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        //拿来封装查询
        sourceBuilder.query(boolQuery);

        /**
         * 2.排序，分页，高亮
         */
        //2.1排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            //sort=hotScor_ASC/DESC 字段+排序规则
            String[] s = sort.split("_");
            //不区分大小写
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        //2.2分页
        //第几页 每页5个的话 pageSize = 5  去第一页,pageNum = 1  form从0开始，size每页5个 [0 1 2 3 4]
        //如果第二页 form 索引从5开始 [5 6 7 8 9] size = 5
        //form计算公式就是页码 (pageNum - 1) * pageSize
        sourceBuilder.from((param.getPageNum() - 1) * EsConStant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConStant.PRODUCT_PAGESIZE);//每页显示内容
        //2.3高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            //前置标签后置标签
            builder.preTags("<b style = color:red>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }


        /**
         * 3.聚合分析
         */

        //品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        //品牌聚合-子聚合 品牌名字/图片
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        sourceBuilder.aggregation(brand_agg);
        //分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");
        catalog_agg.field("catalogId").size(20);
        //分类聚合-子聚合
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        sourceBuilder.aggregation(catalog_agg);
        //属性聚合
        //attr_agg是个大聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //小聚合
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");

        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        //把小聚合放在大聚合里
        attr_agg.subAggregation(attr_id_agg);
        //大聚合在sourceBuilder里面，放进去
        sourceBuilder.aggregation(attr_agg);
        String s = sourceBuilder.toString();
        System.out.println("DSL语句" + s);
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConStant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }


    /**
     * 构建结果数据
     *
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        //根据Es查询结果分析得到正确的模型
        SearchResult result = new SearchResult();
        List<SkuEsModel> esModels = new ArrayList<>();

//        // 1所有查询到的商品  命中的hits记录中查询
        SearchHits hits = response.getHits();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);

//        // 2当前所有商品涉及到的属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        //从attr_agg里面得到attr_id_agg的属性
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            //属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            //属性的值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(items -> {
                String keyAsString = items.getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());

            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
//        // 3当前商品设计到的品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            long brandId = bucket.getKeyAsNumber().longValue();
            //得到品牌名字
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            //得到品牌图片信息
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
//        // 4当前分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
            //得到分类ID
            catalogVo.setCatalogId(Long.parseLong(keyAsString));

            //得到分类名
            //子聚合
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalogName = catalog_name_agg.getBuckets().get(0).getKeyAsString();//获取到拿到第一个get数据
            catalogVo.setCatalogName(catalogName);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);

//        ===================上面的是从聚合信息中抽====================
//        // 5当前分页信息
        result.setPageNum(param.getPageNum());//页码
        long total = hits.getTotalHits().value;
        result.setTotal(total);//总记录数
        int totalPages = (int) total % EsConStant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConStant.PRODUCT_PAGESIZE : ((int) total / EsConStant.PRODUCT_PAGESIZE) + 1;
        result.setTotalPages(totalPages);//总页码

        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i<=totalPages;i++){
            pageNavs.add(i);
        }

        result.setPageNavs(pageNavs);



        if (param.getAttrs()!=null && param.getAttrs().size()>0){
            //构建面包屑导航功能
            List<SearchResult.NavsVo> collect = param.getAttrs().stream().map(attr -> {
                SearchResult.NavsVo navsVo = new SearchResult.NavsVo();
                //构建Vo
                String[] s = attr.split("_");
                navsVo.setNavValue(s[1]);

                R r = productFeignService.getAttrInfo(Long.parseLong(s[0]));
                if (r.getCode()==0){
                    //正常返回
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navsVo.setNavName(data.getAttrName());//拿到属性名字
                }else {
                    navsVo.setNavName(s[0]);
                }
                String replace = replaceQueryString(param,attr, "attrs");
                navsVo.setLink("http://search.gulimall.com/list.html?"+replace);
                return navsVo;
            }).collect(Collectors.toList());
            result.setNavs(collect);
        }

        //品牌面包屑导航，分类面包屑导航，
        if (param.getBrandId()!= null &&param.getBrandId().size()>0){
            //有
            List<SearchResult.NavsVo> navs = result.getNavs();
            SearchResult.NavsVo navsVo = new SearchResult.NavsVo();
            navsVo.setNavName("品牌");

            //远程查询所有品牌
            R r = productFeignService.brandsInfo(param.getBrandId());
            if (r.getCode() == 0){
                //Cheng
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replaceKey ="";
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getBrandName()+";");
                    replaceKey = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                }
                navsVo.setNavValue(buffer.toString());
                navsVo.setLink("http://search.gulimall.com/list.html?"+replaceKey);
            }
            navs.add(navsVo);
        }



        return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        //2.取消了面包邪恶以后,请求地址的url替换掉
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode = encode.replace("+", "%20");//浏览器对空格的编码跟java不一样
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        String replace = param.get_queryString().replace("&"+key+"=" + encode, "");
        return replace;
    }

}
